title: OperonDB: a comprehensive database of predicted operons in microbial genomes.
abstract: The fast pace of bacterial genome sequencing and the resulting dependence on highly automated annotation methods has driven the development of many genome-wide analysis tools. OperonDB, first released in 2001, is a database containing the results of a computational algorithm for locating operon structures in microbial genomes. OperonDB has grown from 34 genomes in its initial release to more than 500 genomes today. In addition to increasing the size of the database, we have re-designed our operon finding algorithm and improved its accuracy. The new database is updated regularly as additional genomes become available in public archives. OperonDB can be accessed at: http://operondb.cbcb.umd.edu.
authors.affiliation: Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA. mpertea@umiacs.umd.edu
authors.forename: Mihaela
authors.initials: M
authors.lastname: Pertea
authors.forename: Kunmi
authors.initials: K
authors.lastname: Ayanbule
authors.forename: Megan
authors.initials: M
authors.lastname: Smedinghoff
authors.forename: Steven L
authors.initials: SL
authors.lastname: Salzberg
mesh_terms: D000465:Algorithms; D030561:Databases, Nucleic Acid; D020745:Genome, Archaeal; D016680:Genome, Bacterial; D023281:Genomics; D020407:Internet; D009876:Operon; D014584:User-Computer Interface